12 tons of KitKat got stolen.
And somehow… it became a marketing case study.
No ads. No campaign. Just smart PR + brand voice.
Here’s what PR, advertising & marketing students can learn from it ↓
https://t.co/VqGk1FURIx
#Marketing#PR#Advertising#KitKat
@RepJackKimble Not too sure if it’s a good thing or not although this is a satire and not real, but at times it seems like it can happen and it is real.
2019 : Wake me up when September ends
2020 : Wake me up when Covid ends
Fast forward
2024 : Wake me up when… eh wait it’s September already?
#wakemeupwhenseptemberends
How does ChatGPT work?
Since OpenAI hasn't provided all the details, some parts of the diagram may be inaccurate.
1. Training. To train a ChatGPT model, there are two stages:
- Pre-training: In this stage, we train a GPT model (decoder-only transformer) on a large chunk of internet data. The objective is to train a model that can predict future words given a sentence in a way that is grammatically correct and semantically meaningful similar to the internet data. After the pre-training stage, the model can complete given sentences, but it is not capable of responding to questions.
- Fine-tuning: This stage is a 3-step process that turns the pre-trained model into a question-answering ChatGPT model:
1). Collect training data (questions and answers), and fine-tune the pre-trained model on this data. The model takes a question as input and learns to generate an answer similar to the training data.
2). Collect more data (question, several answers) and train a reward model to rank these answers from most relevant to least relevant.
3). Use reinforcement learning (PPO optimization) to fine-tune the model so the model's answers are more accurate.
2. Answer a prompt
🔹Step 1: The user enters the full question, “Explain how a classification algorithm works”.
🔹Step 2: The question is sent to a content moderation component. This component ensures that the question does not violate safety guidelines and filters inappropriate questions.
🔹Steps 3-4: If the input passes content moderation, it is sent to the chatGPT model. If the input doesn’t pass content moderation, it goes straight to template response generation.
🔹Step 5-6: Once the model generates the response, it is sent to a content moderation component again. This ensures the generated response is safe, harmless, unbiased, etc.
🔹Step 7: If the input passes content moderation, it is shown to the user. If the input doesn’t pass content moderation, it goes to template response generation and shows a template answer to the user.
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A robotic dog that looks and acts real, a chatty AI companion and virtual-reality engagement. @juliejargon explains what three tech players are doing to help older adults fight social isolation. #WSJWhatsNow https://t.co/Iexr36yqGd